A hybrid, low-cost tissue-like epidural needle insertion simulator.

Area of Science:

• Medical Simulation
• Anesthesiology
• Medical Device Design

Background:

• Epidural and spinal anesthesia are typically performed without medical imaging, posing training challenges.
• Current training methods rely on human specimens, virtual reality, manikins, and supervised clinical practice.

Purpose of the Study:

• To design a novel, low-cost hybrid patient simulator for epidural space needle insertion training.
• To provide realistic haptic feedback and accurate needle tip positioning during simulated procedures.

Main Methods:

• Development of a hybrid patient phantom with realistic force feedback.
• Integration of needle tip position sensing technology.
• Implementation of a real-time visual feedback display for trainees.

Main Results:

• The developed phantom simulates realistic force feedback comparable to biological tissues.
• The system accurately senses and displays the needle tip's position during insertion.
• Provides trainees with immediate, real-time visual guidance.

Conclusions:

• The novel hybrid simulator offers a cost-effective and realistic training solution for epidural and spinal anesthesia.
• This technology can enhance trainee proficiency and patient safety in neuraxial procedures.
• The simulator bridges the gap between traditional methods and advanced training technologies.